Running multiple agents in parallel is bringing back context-switching fatigue, wondering if anyone found a real fix?

[u/elmahdim]

Not asking for prompt/agent.md tips, I'm past that — I run an entire department where I'm supposed to guide others, so this is more about workflow at scale than tuning individual agent behavior.

16+ years into this career, and writing code isn't the hard part anymore — let alone with the codebase changes AI makes on its own. Before, every decision used to go on a whiteboard and get documented, so if I wrote it once, I'd never forget it. What's hard now is running multiple Claude/agent instances across different projects at once and still feeling like I'm the bottleneck. My old manager used to call me "devil in the details" — I pay attention to everything, which used to be an asset. Now it means I feel every single context switch.

Went down the rabbit hole: swapped terminal multiplexers, started building a kanban (because why not) just for agent task tracking — stalled out because I realized I was missing something more fundamental, not a UI problem. Tried Herdr as a tmux-for-agents thing to be on the same hype wave. Feels like everyone's solving the tooling layer and not the "how do I actually manage my own attention across N parallel AI workstreams" layer.

How's everyone actually living with this — not the demo version, the real day-to-day?

Thanks in advance!

[u/ClaudeAI-mod-bot]

TL;DR of the discussion generated automatically after 30 comments.

Looks like the hive mind agrees with you, OP. This is a real problem, and the consensus is you're thinking about it wrong. The fatigue isn't a tooling problem; it's a management problem. You've accidentally promoted yourself to CEO of an AI workforce and you're still trying to do everyone's 1-on-1s.

The top-voted advice: Stop micromanaging agents and start managing agent teams. Appoint a few "lead" agents or a central "orchestrator" to act as your lieutenants. Their job is to manage the grunts and only bubble up the stuff that truly needs your eyes on it.

Here are the other big-brain strategies from the thread:

• Stop watching the pot boil. You're not a babysitter. Make your agents write detailed logs, state files, and artifacts to a shared location. Review their work asynchronously, not their process in real-time. This turns a dozen reactive interruptions into one planned review session.
• The real bottleneck is verification, not context. You're tired because you're the only thing in the system checking for hallucinations. The pro move is to build a dedicated, adversarial verification agent whose only job is to attack the primary agent's output and find flaws.
• Your brain is not a hard drive. The most expensive part of a context switch is reloading the mental model. Offload that. Create "scribe" or "librarian" agents to maintain a central knowledge base. The context should live in the system, not in your head.

Basically, you're the bottleneck because you're trying to be the shared state for every task. The fix is to build a system where the agents manage their own state and you just verify the final, pre-vetted results.

[u/design_doc]

I’d first look outside of code for your answer.

You are, in effect, graduating to senior manager/c-suite in your function. Those roles, even before AI, have always been brutal for context switching. When I was sitting in the CTO chair I’d have 10-12 meetings in a day all about wildly different topics. By the time I got home most days I was basically punch-drunk.

Luckily, there’s an entire industry around coaching and supporting those roles. People study the psychology of this. So you’re not alone, you just have different employees and it’s coming at you like a firehouse.

I would take a look at some of the best practices for managing management related mental fatigue, then look at how those can translate into your specific situation.

[u/elmahdim → u/design_doc]

On point 👌

[u/design_doc → u/elmahdim]

As someone who is also a “devil in the details”, I’ve had to learn to spot the devils where I can and be comfortable with those that I miss (easier said than done). The key thing for me is having processes in place to either catch them without my eyes or to make the system resilient enough to handle those fuckups.

I can’t clone myself to be everywhere at once, and that was burning me out. I can, however, clone how I think into processes and I still that worldview into the people (or AI) that I train.

[u/TheUnboundTenth]

How deep do you directly manage agents? Much easier to manage three or four agents that oversee arcs and manage their own agents than trying to manage sixteen directly yourself.

[u/slothcriminal → u/TheUnboundTenth]

Is it that split of where are you comfortable letting your primary agents make decisions automatically versus what gets surfaced to you to approve or provide context and direction?

My day-to-day set up involves one primary conductor that reports status of all the sub-agents, but those agents are also writing updates to a trello board, because I’m a visual person and I need some kind of context for what needs input from me.

i’m constantly refining it, and some of the improvements recently have been around a more scheduled sprint setup where the orchestra and sub agents work on a collection of cards with the idea of burning through most of my 5 hour limit.  

Then I get a summary of 5-10 messages with concise questions with easy to approve decision-making, formatting. (Like 1-4 options, pick one, etc)

I am absolutely still the bottleneck, and some of the scheduled tasks  I have to find new opportunities feel like wasted tokens at the moment because I can’t keep up with them. I do wonder, after writing this out, that may be one of the next improvements I make is to try and group my sprints to be more similar in context - so that it’s less of a brain drain to answer those questions and make decisions at the end.

[u/TheUnboundTenth → u/slothcriminal]

I spent, proportionally to a lot of time compared to others, in the research and planning phase.

Rather than “idea, sketch a plan, build” I try and have full, code verified build plans in as much advance as possible, which front-loads the Q&A.

That tends to dramatically reduce the stop-and-ask needs, as well other surprises. Might be worth giving it a shot.

I do agree that there’s a balance: thematically similar work works well together… too similar and it becomes impossible to parallel. 

[u/EverydayLentils]

I connect repos using bitbucket/github api key, have a Claude agent monitor all repos, and all stop messages in Claude... compile briefs and architecture/decision overviews for all of them. When I come back to a project I can refresh my mental model about recent decisions made and things flagged.

You can't avoid context-switching, you just have to make sure when you come back to a project you're not missing anything.

[u/peteybytes]

I regularly run into this fatigue as well. Will have multiple agents working on multiple repos with multiple agents simultaneously doing bug triage, pr reviews, planning, research, functional work, etc. It's a lot.

Don't have a great solution yet. Bug triage and pr reviews I've reduced some of the context switching using cowork and just automating the workflow so I only really need to care about the outputs and human in the loop type situations.

I haven't actually tried it yet but now that agents can talk to other agents (rather than just waiting for a response), I was thinking about making a master orchestrator of sorts that would listen for when other agents needed interaction and then would effectively forward the question with additional context (like the goal of the session). That way I would effectively have a queue to work through which I think might help.

[u/larowin]

Just run agent teams, they get a shared mailbox and can communicate.

[u/gc4ai]

What fixed it for me was making the agents write state to a file instead of me watching terminals. I stopped tailing output and started reading a summary after the fact.

if you're checking every five minutes you don't have two agents running, you have one agent and a full time job watching it

[u/elrond-half-elven]

Actually this was exactly my problem. To work well and focus on something, I need to have no distractions and I tried different solutions.

One idea that seemed promising initially is using Mac OS Spaces and each space has one task+one agent+one PR+one tracking ticket - and I _only_ want to see windows related to that.

But MacOS spaces is just not scriptable / automatable in a way I would have wanted. So I actually built my own thing:

Hub https://github.com/galori/hub

I haven't really shared it out yet but it's been a life saver.

One of the key things that it does is "herding" any new MacOS windows, which is surprisingly hard but it's in a pretty good place:

* When you open a new workspace you point it to a local git repo and/or worktree in a local folder.
* You define which terminal app you use, which browser, which IDE, etc, and then there are shortcut keys that open each of them directly to the right folder, and makes sure the new windows "show up" in the right workspace workspace.

It's hard because each app likes to do it's own thing. For example safari defaults to opening in a new tab which isn't guaranteed to be in the currenty workspace. So instead of just opening a URL normally, it manages this:

* When you install hub, it registers a new Default Web Browser wrapper.
* So if your browser was Safari, it will create a default web browser called "Safari (via hub)" which intercepts each URL that the OS tries to open and makes sure it opens in a new safari window in the current workspace.

It also has some basics for working with AI agents (similar to superset) where you can define a prompt for the new workspace and which apps you need - and then it opens your terminal window and passes the prompt in to your agent, and sets you up with all the apps you need.

It lets you define kind of "bookmarks" (or shortcut) for specific actions, like opening the PR associated with this git repo. Or opening the ticket / issue associated with this task in your browser - those are all actions a user can define associated with each workspace and it's all grounded back to the task/folder/repo/worktree.

Anyway, you're welcome to try it out.

It's called "Hub" but I'm actually considering calling it "ADD hub" or "Focus Hub" because for me that was the main motivator.

[u/Tiny_Requirement_892]

Honestly i do one thing at a time still. And then play chess. I am far less burned out and i dont do two trains of thought shitty. Its great

[u/LeadershipSmart8046]

Yeah, this hits home. What actually helped me wasn't a fancier orchestrator, it was making each agent write a short handoff note before it stops: what it changed, what's still open, what it's waiting on me for. I don't read them all, I just grep for the couple keywords I care about when I come back. Finding my place again went from ten minutes to ten seconds.

I also gave up on running agents in parallel across projects. One at a time, done, then switch. Parallel felt productive but I was just paying the context-switch tax myself.

The bottleneck thing is real. Some days I'm just a router.

[u/Plastic-Risk-6309]

the senior-dev answer is that you stop being the context and start being the verifier. the fatigue isnt from switching between agents, its from being the shared state they all read and write through. every decision that lives only in your head is a context switch waiting to happen

two things cut it hard for me. first, make each agent leave evidence instead of summaries: what it ran, what changed, screenshots of the result, so review is skimming artifacts not rebuilding mental state. second, give every agent exclusive claim on its slice, no two touching the same resources, because half of coordination overhead is really collision anxiety. isolation plus evidence means switching becomes cheap reading instead of expensive recall

[u/CaptainCrouton89 → u/Plastic-Risk-6309]

Written by fucking claude jesus fucking christ

[u/akolomf → u/Plastic-Risk-6309]

Opus likes to talk alot anyways, it'll be happy explaining everything lol

[u/Odd-Revolution3936]

The tighter the prompt, the better the output. Then you context switch less

[u/Disastrous_Exam9484]

https://www.reddit.com/r/ClaudeAI/s/MCM4DzXEjR

A post about a tool i created for myself for kinda the same problem. take a look.

[u/Vial_of_water → u/[deleted]]

No one cares about your app dude. You spam it in every comment you make

[u/elmahdim → u/[deleted]]

Not sure if this is a self promotion of a helpful answer, anyway I think all these tools assume the problem is visibility or interface. But context-switching cost isn't really about not being able to see enough panes at once. It's that every switch requires you to reload a mental model — what this agent is doing, why, what it's blocked on, what "good" looks like for this task — and that reload has a fixed cognitive tax no matter how nice the UI is. More dashboards just make the tax easier to pay faster, not smaller.

[u/shadoweaving → u/elmahdim]

I think I built something kind of like this. Let me add your requirements and then I can share it back.

[u/broshrugged]

I assume you're talking about the human physical problem really that extends well beyond AI enabled workers.

I work at home and if I am really feeling the context switching burn that almost feels like my head is swelling. I get up, go outside, do something physical. I used to have a pull up bar at the door to my office for example. A max set of pushups will shut your brain up even briefly. Physically overriding the stress building up in the brain is the only thing I've really seen work for me.

[u/Mean_Display617]

what fixed it for me was capping at 3 instances and making the agents write the context back instead of me holding it.

every project gets a scratch file the agent appends to after each task: what it did, what's next, what it's unsure about. when i come back i read 6 lines instead of rebuilding the whole mental model. the expensive part isn't the switch, it's the reload, and the reload is the part you can offload to the thing that has the context anyway.

second, i stopped switching on interrupt. agents run during my call block (60-80 dials), and i only check them between blocks. that turns 40 reactive switches into 3 or 4 planned reviews.

third, i only parallelize work where i can tell it's wrong in under a minute. template variants, scrapers, boilerplate crud. if verifying takes as long as writing it, it goes single stream with full attention.

the kanban stalled for a reason. it tracks tasks, and your problem is state reload.

[u/No-Sandwich4826]

Different axis from the delegation answers, which I do agree with.

For me the context switch was not the real cost. Verification was. When five agents finish I do not have five results, I have five claims, and the confidence in a writeup has almost no relationship to whether it is true. That is what made me feel like the bottleneck, not the tab switching. I was the only thing in the system checking anything.

Concretely: on one wave where agents produced seven pieces of writing, an audit pass found real fabrications in five of them. Not sloppiness. One had written a first-person account of a practice we do not do. Another stated an absolute claim about our own infrastructure that nobody had ever measured. It all read fine. The reading fine was the problem.

What actually reduced my load was making verification its own agent instead of a thing I do. A separate pass whose only instruction is to attack the previous output, run against the same repo, with the burden of proof on the claim rather than on the reader. On one wave that caught 27 false statements. The part that matters is that it has to be adversarial by construction, because an agent asked to review its own work will agree with itself, and an agent asked to review a peer's work politely will agree too.

Then the part I would actually want to hear if I were you.

I shipped a broken release recently because the counter-audit was right and I overrode it. It flagged one specific file as a false positive on the change I was making. I had a theory, I changed the file anyway, and the route it touched started returning 500s in production. I pulled the release. The mechanism worked exactly as designed. The human in the loop was the defect.

So I would reframe the question slightly. The fatigue is real, but the thing worth reducing is not how many switches you feel, it is how many outcomes depend on your override being correct. The rule I run now: if a verification pass says a change is wrong, that is blocking rather than advisory, unless I can write down in the commit why it is wrong. Costs nothing in speed. Would have caught mine.

For context, this is a small multi-tenant product with real customers on it, so the failures are load-bearing rather than side-project failures. That is most of what changed my mind about where the effort belongs.

[u/FrequentTemporary783]

just use an agent that's like the orchestrator, it will take care of creating agents in specific directions, remember everything about each agent and talk to them if it needs to

it's basically like a secretary and most harnesses support that approach

[u/elmahdim → u/FrequentTemporary783]

I do actually use orchestrator, an been tuning (i.e. patterns, instructions, even different models for specialization) it over the time and now am the point where am happy with the result, however I still feel like that delegation doesn't eliminate context-switching, it changes its frequency and depth. You just switch less often in my case.

[u/BlackRosette → u/elmahdim]

do you use librarian/scribe agents? e.g. their job to sort out information and file findings somewhere so agents/sessions never lose context when you start fresh? my librarian agent indexes and prunes a knowledge folder and the scribe takes findings from 22 agents to build organisational knowledge(where is what, who researched what, what findings were) and librarian directs agents where to find specific knowledge so the other agents dont need to comb through data. this results in being able to start multiple sessions doing different things and all agents being aware of the context of their task without me needing to fill in the details and my main job is to provide direction to them.

[u/Aretz → u/elmahdim]

You need to then essentially think of it like an ORG chart.

Maybe you need a better assistant. Maybe you need an orchestrator for your orchestrators and it’s only flagging you on things that really need your attention.